POPH90068 Prevention and Control of STIs and HIV
POPH90068 Overview
- University of Melbourne
- Semester 2 2026
- 11 chapters
- Health and Medicine
POPH90068 Prevention and Control of STIs and HIV is a postgraduate University of Melbourne subject about turning epidemiological and public health evidence into defensible prevention and control decisions.
- Assessed by 3 short answer questions 30% · 3 online reflections 15% · Individual Peer Review of Draft 15% + 1 more
- Key terms Incidence, Prevalence, Positivity, Transmission efficiency
- Assessment move Study the subject as a sequence of public health decisions.
How POPH90068 is assessed
| Component | Weight | Format |
|---|---|---|
| 3 short answer questions | 30% | Three applied responses, 500 words each |
| 3 online reflections | 15% | Two lecture reflections and one response to another student's reflection |
| Individual Peer Review of Draft | 15% | Structured feedback on a classmate's draft EOI |
| Expression of interest for designing a public health initiative to improve STI control | 40% | Final 2,000-word intervention proposal |
What POPH90068 covers
Follow the subject from epidemiological measures and control theory to partner management, prevention, evaluation and an aligned public health proposal.
Epidemiology and Clinical Foundations
Measures, denominators and cautious interpretation of infection patternsThis chapter establishes the language needed to interpret STI and HIV patterns. Clinical features influence symptoms, presentation, diagnosis and infectious duration, while epidemiological measures answer population questions.
- Distribution and determinants of infection
- Clinical presentation and duration
- Diagnoses versus testing coverage
- Positivity, prevalence and incidence
- Person, time and place
- Causal limits of descriptive data
STI Control Theory
Transmission efficiency, partner rate and infectious duration as intervention leversSTI control theory provides a compact way to explain why an intervention could change transmission. Transmission efficiency per partnership, the rate of partner change and infectious duration form the organising relationship.
- Transmission efficiency beta
- Partner-change rate C
- Infectious duration D
- Intervention pathways
- Efficacy and population effectiveness
- Mechanism-matched evaluation
Networks and Core Groups
Concurrency, connection patterns, access and respectful targetingNetwork structure explains why the timing and pattern of partnerships matter alongside the number of partners. Concurrent connections can create rapid paths for transmission, while highly connected segments may help sustain infection in a population.
- Partnership timing
- Concurrency
- Connected transmission paths
- Core group concept
- Clinic access and duration
- Respectful population targeting
Burden, Inequity and Stigma
Clinical and social consequences, service barriers and equityThe public health burden of STIs and HIV extends beyond clinical outcomes to psychological distress, relationship harm, violence, discrimination and service avoidance.
- Clinical and social burden
- Internalised stigma
- Interpersonal stigma
- Institutional stigma
- Health inequity
- Distributional effects of programs
Surveillance and Evidence
Study design, confounding, precision and bounded conclusionsSurveillance can reveal detected burden and trends, while comparative studies test whether an intervention produced an outcome. Observational studies are valuable but can be distorted by confounding, selection and different testing behaviour.
- Routine notification systems
- Observational associations
- Randomised comparisons
- Confounding and selection
- Effect estimates and precision
- Generalisability and communication
Partner Management
Safe notification pathways from exposure information to completed carePartner management connects an index diagnosis to information, testing and treatment for people who may have been exposed.
- Purpose of partner notification
- Patient and provider referral
- Testing and treatment links
- Safety and confidentiality
- Infection-specific differences
- Pathway completion measures
HIV Cascade and Prevention
Sequential coverage gaps, combination prevention and matched servicesThe HIV cascade arranges diagnosis, linkage, retention, treatment and viral suppression as sequential coverage stages. Differences between adjacent stages locate distinct service gaps and prevent a broad target from becoming a generic intervention.
- Cascade stage definitions
- Relative and population denominators
- Diagnosis and linkage gaps
- Retention and viral suppression
- Combination prevention
- Matched service interventions
Biomedical Prevention and Resistance
Population benefit, organism specific evidence and resistance monitoringBiomedical prevention decisions require more than an efficacy percentage. Effects can differ across organisms, regimens and populations, while uptake, adherence and companion services determine real-world impact.
- Efficacy and effectiveness
- Organism-specific effects
- Population eligibility
- Shared decision-making
- Antimicrobial resistance
- Monitoring and review rules
Health Promotion and Equity
Community partnership, enabling conditions and distributional evaluationHealth promotion enables people to increase control over and improve health. The subject treats information as one element within a wider system of services, community relationships, environments and policy.
- Health promotion definition
- Information and enabling conditions
- Community participation
- Service redesign
- Policy and structural action
- Equitable reach and harm
Program Evaluation
Logic models, process measures, outcomes and actionable comparisonsEvaluation tests the links between resources, delivery, reach, behaviour or service change and population outcomes. Process measures explain whether a program was delivered as intended and why a pathway held or failed.
- Logic models
- Fidelity and dose
- Reach and acceptability
- Behaviour and service outcomes
- Epidemiological outcomes
- Comparison, timing and decisions
Intervention Proposal Studio
An aligned argument from population and theory to delivery and evaluationThe final EOI is an aligned argument for a feasible public health initiative. A specific population and setting determine the stakeholders, aim and evidence. SMART objectives make the intended change testable.
- Target population and context
- Stakeholder roles
- Aims and SMART objectives
- Control-theory background
- Evidence and implementation
- Evaluation and feasibility
The course begins with basic clinical and epidemiological features, then asks how transmission efficiency, partner networks and infectious duration shape intervention choices. It places those mechanisms inside the realities of stigma, inequity, service access and community trust.
The second half of the subject moves from describing problems to evaluating responses.
Students compare surveillance measures, distinguish association from intervention effects, analyse partner management and HIV cascade gaps, and weigh biomedical benefit against implementation and antimicrobial resistance concerns.
Health promotion is treated as more than information: programs may need community partnership, service redesign and policy action to enable people to exercise practical control over health.
Assessment is entirely written and applied. Short answers test accurate prioritisation and use of control theory. Reflections reward critical engagement rather than lecture summary.
Peer review asks for specific, respectful and actionable feedback. The final Expression of Interest integrates the subject by defining a population, engaging stakeholders, stating SMART objectives, justifying an intervention with theory and evidence, planning feasible delivery and matching evaluation to the promised change.
This guide follows that chain so revision produces better decisions, not a list of isolated definitions.
Worked example · free
Match an access intervention to STI control theory
- 1Identify infectious duration as the primary control lever because easier access can bring testing, diagnosis and treatment forward.
- 1Explain the service mechanism: suitable hours remove a stated barrier and may reduce delay to care.
- 1Measure completed attendance and time from booking or presentation to treatment in the intended population.
- 1Keep claims bounded: greater reach or shorter delay does not by itself prove population transmission fell.
Key terms
- Incidence
- Incidence measures new infections arising in a population at risk over a defined period.
- Prevalence
- Prevalence is the proportion of a population living with an infection at a point or during a period.
- Positivity
- Positivity is the proportion of tests or tested people with a positive result in the specified setting.
- Transmission efficiency
- Transmission efficiency is the probability that infection passes during a relevant partnership or exposure.
- Infectious duration
- Infectious duration is the time during which an infection can be passed onward before clearance or effective treatment.
- Concurrency
- Concurrency describes partnerships that overlap in time and can create connected paths for transmission.
- Core group
- A core group is an epidemiological concept for a highly connected segment that may sustain transmission.
- Partner notification
- Partner notification is the process of informing exposed partners and linking them to appropriate care.
- HIV cascade
- The HIV cascade arranges sequential stages of diagnosis, care, treatment and viral suppression to locate coverage gaps.
- Confounding
- Confounding occurs when another factor distorts the association between an intervention or exposure and an outcome.
- Health promotion
- Health promotion enables people to increase control over and improve health through personal and wider social action.
- Process evaluation
- Process evaluation examines delivery, fidelity, reach, acceptability and the barriers that shape implementation.
POPH90068 FAQ
How is this subject assessed?
The published structure is three short answer questions worth 30%, three online reflections worth 15%, an individual peer review worth 15%, and a final Expression of Interest worth 40%. The tasks reward applied public health reasoning, critical engagement, constructive feedback and a coherent intervention proposal rather than a final examination.
What is the hardest reasoning step in STI control theory?
The difficult step is not recalling beta, partner rate and infectious duration. It is explaining which term a proposed intervention can realistically change, how delivery creates that change, and which indicator can test it. Strong answers also state what the intervention does not directly alter.
How should surveillance trends be interpreted?
Begin with the denominator and distinguish diagnoses, testing coverage, positivity, prevalence and incidence. More notifications can follow more testing, while positivity can change because the tested population changed. Describe person, time and place, label causal explanations as hypotheses, and request the additional data needed before claiming transmission changed.
What makes partner management effective?
Partner management must move beyond sending information to safe, completed access to testing or treatment. Infection-specific guidance, confidentiality, safety, preferences and local regulation shape the route. Evaluation should follow successful contact, care completion and delay while protecting identities, because message counts alone do not demonstrate a control effect.
What does a health promotion answer need?
A strong answer identifies the level of the barrier and matches action to it. Knowledge gaps may need education, service barriers may need redesign, trust may require sustained partnership, and institutional barriers may require policy change. It should also explain how the target population participates and how equitable reach will be assessed.
How do I plan the final EOI?
Start with a specific population and setting, then identify stakeholders including members of that population. Write a clear aim and SMART objectives, connect the intervention to STI control theory, justify it with relevant evidence, plan feasible delivery and make each evaluation indicator test an objective. Audit every join before polishing prose.
Questions students ask in each POPH90068 chapter
- Does an increase in notifications mean transmission increased?
- Not necessarily. Notifications also depend on testing volume, eligibility, attendance, diagnostic methods and reporting. Examine testing coverage and positivity, then use incidence or another stable new-infection measure where available before claiming transmission changed. Chapter 01 · Epidemiology and Clinical Foundations
- What do beta, C and D represent?
- Beta represents transmission efficiency per partnership, C represents the rate of partner change and D represents infectious duration. They organise the mechanism of control, but do not replace attention to uptake, service access, equity or context. Chapter 02 · STI Control Theory
- Why does concurrency matter?
- Overlapping partnerships can connect people during the same period of infectiousness, creating more immediate routes for onward transmission. The number of people alone does not reveal this timing or network structure. Chapter 03 · Networks and Core Groups
- How can stigma affect transmission control?
- Fear of judgement, disclosure or discrimination can delay testing, treatment or partner communication. That may extend infectious duration and weaken service reach, so stigma is part of the control pathway rather than an unrelated social issue. Chapter 04 · Burden, Inequity and Stigma
- Why can observational and randomised results differ?
- People receiving an intervention in routine care may differ in healthcare engagement, testing, behaviour and baseline risk. Randomisation aims to balance those factors, although trial adherence, sample size and population selection still shape the estimate. Chapter 05 · Surveillance and Evidence
- How does partner notification support control?
- It can bring exposed partners to testing and treatment sooner, shortening untreated duration and reducing complications or onward transmission. The size of that effect depends on completion, timeliness and infection-specific management. Chapter 06 · Partner Management
- Why do cascade denominators matter?
- A percentage may use the previous stage or the estimated full population as its denominator. Those choices yield different values, so comparisons require the same definition and time window. Chapter 07 · HIV Cascade and Prevention
- Why should effects be reported by organism?
- A regimen may perform differently across infections because biology and resistance differ. A broad prevention claim can create false reassurance and weaken other testing or prevention practices. Chapter 08 · Biomedical Prevention and Resistance
- Why is information alone often insufficient?
- People may understand a recommendation but remain unable to act because of cost, time, confidentiality, discrimination or service design. Health promotion must address the condition that constrains practical control. Chapter 09 · Health Promotion and Equity
- What is the difference between process and outcome evaluation?
- Process evaluation examines delivery, fidelity, reach, acceptability and barriers. Outcome evaluation examines changes in behaviour, services or health. Both are needed to explain whether the intervention pathway operated. Chapter 10 · Program Evaluation
- How specific should the target population be?
- Specific enough that burden, barriers, evidence, stakeholders and delivery can be judged in context. Use relevant characteristics and place without stereotyping or implying that identity alone explains transmission. Chapter 11 · Intervention Proposal Studio
How to prepare for the assessments
Study the subject as a sequence of public health decisions. First, practise distinguishing diagnosed cases, testing coverage, positivity, prevalence and incidence until you can state what each denominator permits. Second, apply transmission efficiency, partner rate and infectious duration to every intervention and write the service mechanism between the activity and the control term.
Third, use network, stigma and equity chapters to identify who may be missed and why. Fourth, appraise evidence by naming design, confounding, effect direction, precision and the population to which the conclusion applies. Finally, build an EOI outline from the evaluation backwards: if you cannot measure an objective, revise it; if an activity does not serve an objective, remove it.
For short answers, use a direct conclusion followed by mechanism, evidence and limitation. For reflections, add a genuine change in understanding and an unresolved question. For peer review, point to a specific gap, explain its consequence and propose an actionable repair without taking ownership of the author's project.